Triple
T17966283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matsue |
E449214
|
entity |
| Predicate | hasStructure |
P35
|
FINISHED |
| Object | Matsue City Hall |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Matsue City Hall | Statement: [Matsue, hasStructure, Matsue City Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matsue City Hall Context triple: [Matsue, hasStructure, Matsue City Hall]
-
A.
Matsue City Hall
chosen
Matsue City Hall is the main municipal government building and administrative center responsible for managing public services and local affairs in Matsue, Japan.
-
B.
Izumo City Hall
Izumo City Hall is the main administrative building and local government headquarters serving the city of Izumo in Shimane Prefecture, Japan.
-
C.
Himeji City Hall
Himeji City Hall is the main municipal government building and administrative center serving the city of Himeji in Hyōgo Prefecture, Japan.
-
D.
Maibara City Hall
Maibara City Hall is the main municipal government building and administrative center serving the city of Maibara in Shiga Prefecture, Japan.
-
E.
Wakayama City Hall
Wakayama City Hall is the main municipal government building and administrative center serving the city of Wakayama in Japan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b1380960819089a3c0dd7cd57e5e |
completed | April 19, 2026, 10:40 a.m. |
Created at: April 10, 2026, 10:22 a.m.